About

I am a doctoral student at the Centre for Neuroscience Studies at Queens University, where my current research attempts to identify functional brain networks underlying motor learning. More generally, I’ve been experimenting with graph-theoretic and kernel methods for clustering and classifying brain networks.

My background is in statistics and mathematics, and a few of my side-projects involve or have involved using hierarchical Bayesian models to do meta-analysis, using quaternions and spherical statistics to model motion trajectories, and using multi-scale multi-variate entropy measures to characterize EEG signal complexity in aging populations. I also enjoy complaining about statistics I don’t like.